David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Who else loves “The Twilight Zone?” We are collectively indebted to Rod Serling for doing a masterful job presenting material that not only entertained us but made us think in new, and even ...

Abstract: In this paper, radial-force shaping using the logistic function is proposed for acoustic noise reduction in switched reluctance motors. The proposed radial-force shaping regulates the radial ...

Can A.I. be used to track and predict hurricanes in the upcoming tropical storm season? We speak with Bryan Norcross, FOX Weather meteorologist and hurricane specialist, about how this new tool is ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Steffen Schmitz-Valckenberg, MD, discusses how optical coherence tomography-based models may enable rapid, noninvasive assessment of functional loss in GA at Angiogenesis 2026. In this Q&A ...

Objective Reduced functional capacity and muscle weakness are two major contributors to functional impairment in chronic obstructive pulmonary disease (COPD). The underlying causes of functional ...

Figure 1: LASSO feature ranking and SHAP explanatory for Cases 1, 2, and 3 feature selection models. A positive SHAP value indicates a positive impact on prediction, leading the model to predict 1 ...